9 часов назад
Insights Strategist (AI Search)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Insights Strategist (AI Search): Analyzing AI Search data and developing recurring reporting, metrics, benchmarks, and focused investigations with an accent on brand visibility, citations, sentiment, source patterns, and model behavior. Focus on defining high-value analytical questions, distinguishing useful signals from unsupported conclusions, and translating findings into product, customer, and prospect recommendations.
Location: Onsite in New York City or San Francisco, United States
Company
provides a platform that helps brands improve visibility, recommendations, and trust across AI search platforms such as ChatGPT, Claude, and Gemini.
What you will do
- Define the most valuable questions to answer with AI Search data based on product priorities, customer needs, and market changes.
- Build recurring analyses and reporting across models, topics, brands, and time periods.
- Lead investigations into changes in visibility, citations, sentiment, source patterns, and model behavior.
- Develop metrics, measurement methods, benchmarks, and analytical frameworks for AI Search performance.
- Translate findings into recommendations for product priorities, customer strategy, and prospect conversations.
- Partner with Product, Data, Sales, and Customer Success to improve reporting and communicate findings to internal and external audiences.
Requirements
- 5+ years of experience in insights, analytics, product strategy, data science, consulting, or a related analytical role.
- Strong SQL skills and experience working directly with large, complex, or imperfect datasets.
- Ability to define analytical questions, set priorities, select appropriate methods, and distinguish useful signals from unsupported conclusions.
- Experience building recurring reporting or measurement systems alongside deeper one-time analyses.
- Strong written and verbal communication skills, including the ability to explain technical findings to business and executive audiences.
- Experience turning analysis into specific recommendations for product teams, customers, or senior leaders.
Nice to have
- Experience with AI Search, search analytics, SEO, AEO, large language models, or recommendation systems.
- Experience analyzing text-heavy or unstructured datasets.
- Familiarity with Python, R, notebooks, or business intelligence tools.
- Experience with B2B SaaS, data products, analytics platforms, or customer-facing strategy and consulting.
- Experience developing benchmarks or measurement methodologies used across multiple customers.
Culture & Benefits
- Values include extreme ownership, quality, curiosity and play, customer advocacy, and respectful candor.
- Equity in a fast-growing startup.
- Competitive benefits tailored to location.
- Flexible time off policy and parental leave.
- Fast-moving, collaborative, and technically curious team environment.
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